Markov Processes for Stochastic Modeling

Oliver Ibe

ISBN 10: 0323282954 / ISBN 13: 9780323282956

Verlag: Elsevier Science & Technology, Elsevier, 2013

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of areas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory to provide a solid ground in the subject for the reader.

Bestandsnummer des Verkäufers 9780323282956

Bibliografische Details

• Titel: Markov Processes for Stochastic Modeling
• Verlag: Elsevier Science & Technology, Elsevier
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 0323282954
• ISBN-13: 9780323282956
• Einband: Taschenbuch
• Auflage: 2. Auflage
• Zustand: Neu
• Abmessungen: 229B x 152 H x 24 T Millimeter Breite: 229 mm, Höhe: 152 mm, Tiefe: 24 mm
• Gewicht: 450 Gramm

Über diesen Titel

Inhaltsangabe

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range ofÿÿareas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory toÿprovide a solid groundÿin the subject forÿthe reader.

Über die Autorin bzw. den Autor

Dr Ibe has been teaching at U Mass since 2003. He also has more than 20 years of experience in the corporate world, most recently as Chief Technology Officer at Sineria Networks and Director of Network Architecture for Spike Broadband Corp.